Reference: 273_22_LS_TM_RE2

Job title: Research Engineer - Text Mining (RE2)

Applications procedure and process:  https://www.bsc.es/join-us/job-opportunities/27322lstmre2

 

Context And Mission

 

The Text Mining Unit (PI Martin Krallinger) has several research lines related to biomedical and clinical NLP and Text Mining activities with particular interest in implementing advanced deep learning/transformer based approaches as well as building and exploiting domain specific language models.

 

Through collaboration with research groups, hospitals as well as project partners (Horizon Projects) our aim is to develop real world applications related to semantic annotation (NER) components, entity linking, semantic text similarity, building and exploiting text-derived knowledge graph as well as domain specific machine translation technologies.

 

We search for a Research Engineer in text mining / Natural Language Processing (NLP), medical informatics, computational linguistics or language engineering with a strong background in Machine Learning (ML), who will be responsible for the implementation of text mining tools for the Horizon BIOMATDB (https://biomatdb.eu) project.

 

Key Duties

 

• Design, implementation, and evaluation of text mining, NLP, deep learning and ML tools and models applied to the biomaterials, chemistry, biology and biomedical application domain.
• Coordination and organization of shared tasks and evaluation campaigns (like BioASQ, IberLEF,..).
• Technical coordination and supervision of annotation projects to generate high-quality text corpora.
• Integration of results and components into a biomaterials knowledgebase.

 

Requirements

 

Education

• University degree in computer science, mathematics, statistics, Chemical engineering, materials engineering, data scientist, physics, bioinformatics, telecommunications, electrical engineering or equivalent.

 

Essential Knowledge and Professional Experience

• Experience with Deep Learning and statistical data mining frameworks: Keras, Tensorflow, PySpark, PyTorch, Spacy, etc.
• Experience with ML algorithms and techniques: LDA, Topic Modelling, LSTM, KNN, SVM, Decision Trees, Clustering, Word Embeddings, etc.
• Experience in the development or management of software resources/tools, Github + Github projects.
• Experience with NLP components and platforms.
• Experience with named entity recognition and entity linking methodologies.

 

Additional Knowledge and Professional Experience

• Strong programming skills in at least one of the following languages: Python, C++, Scala, R, Java.
• Experience and skills related to bash, Docker, Kubernetes, Unity testing, Collab

 

Competences

• Interest in biomaterial sciences, biomedicine and related application domains
• Good communication and presentation skills.
• Strong technical writing skills.
• Ability to work both independently and within a team.
• Used to work under pressure under strict deadlines

 

Conditions

 

• The position will be located at BSC within the Life Sciences Department
• We offer a full-time contract, a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, tickets restaurant, private health insurance, fully support to the relocation procedures
• Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
• Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
• Starting date: ASAP

 

 

About BSC

The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and is a hosting member of the PRACE European distributed supercomputing infrastructure. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 770 staff from 55 countries.